Tech Lead - Data Science

About the role

Trane Technologies is hiring a Tech Lead for its Data Science team in Bangalore. You will provide technical leadership for end-to-end AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring. The role works onsite Monday to Thursday, with Friday work location flexible.

Key responsibilities

• Define the architectural direction for machine learning platforms, ensuring scalability, security, performance and alignment with organizational standards.
• Lead the evaluation, selection and integration of AI technologies, frameworks and tools, including GenAI solutions.
• Collaborate with product and domain teams to turn business requirements into ML architectures and solution roadmaps.
• Oversee the ML model lifecycle, including experimentation, versioning, CI/CD integration and continuous improvement.
• Mentor data scientists, ML engineers and analysts, and review ML pipelines, code and designs.
• Drive MLOps practices such as automated model training, deployment, monitoring and retraining.
• Ensure data quality, governance, compliance and responsible AI principles are applied across AI/ML initiatives.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related field; Master's in Data Science preferred.
• 9-12 years of experience in AI/ML development, advanced analytics or data-driven software engineering.
• Proven leadership, mentoring and stakeholder management skills.

Required skills

• Deep expertise in machine learning, statistical modeling, neural networks, NLP or computer vision.
• Strong Python and experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras.
• Hands-on experience deploying ML models at scale, SQL and cloud platforms such as AWS SageMaker, Azure ML or Google Vertex AI.
• Familiarity with MLOps tools and GenAI techniques (LLMs, embeddings, vector databases).

What we offer

• Inclusive wellbeing program and learning and development, including higher education and certification reimbursement.
• Employee resource groups and 8 hours of paid time off per year to volunteer.
• A Helping Hands Fund supporting employees facing financial hardship.